Dietly operates a two-sided marketplace for meal-prep catering in Poland, letting consumers compare providers, order online, and rate meals in a unified interface. The company is engineering operational scale: hiring heavily in ops and logistics to hit 100k+ packages per day, while simultaneously standardizing processes across locations and replacing manual workflows with automation. Stack reveals dual focus—Kafka, Airflow, dbt, BigQuery for data pipelines; Figma, Midjourney for customer-facing design—suggesting a business moving from chaos-driven growth into measured operational maturity.
Dietly is a Polish marketplace platform founded in 2019 that aggregates diet-catering providers and enables end-to-end ordering through a single customer panel. Users browse and compare catering firms, review menus, place orders across multiple providers without re-entering delivery data, and rate individual meals and full orders. The company operates from Gdańsk with 51–200 employees, serving the Polish diet-meal delivery market. Current priorities center on scaling logistics (sorting and transport), standardizing operations across multiple fulfillment nodes, implementing transport-route optimization, and migrating away from manual operational processes toward audited, documented workflows.
Core platforms: AWS (Aurora, Lambda), BigQuery, Kafka, Apache Airflow, dbt Core, RabbitMQ, Docker. Analytics and design: Tableau, Power BI, Looker, Figma, Adobe Creative Cloud. Adopting no new major tools as of last review.
Scaling to 100k+ daily package sorting; implementing new transport management system; standardizing operations across multiple locations; building dynamic pricing; replacing manual processes with automation; optimizing delivery routes.
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